Operations | Monitoring | ITSM | DevOps | Cloud

Announcing the beta for MacOS Runners in Bitbucket Pipelines

We are happy to announce that Bitbucket Pipelines now supports MacOS self-hosted runners. This is currently in beta. You can now create a self-hosted runner and run it on your MacOS infrastructure to run MacOS and IOS builds. Since you’re using your own runner, you won't be charged for Bitbucket Pipelines build minutes. This self-hosted runner will be non-containerised allowing your CI/CD step to access the host's hardware, such as the graphics card or any connected external devices.

Introducing Bitbucket's redesigned Branch page

We are excited to announce that improvements to the Branch page will be available in Bitbucket Cloud in the coming weeks! Comparing two branches can be a critical step before creating a pull request. We recognize that it can be a cumbersome experience to see the Branch page displayed differently than the Pull request page.

Predefine values of custom pipeline variables

Recently, we introduced support for default values in custom pipeline variables. Today, we're happy to announce the ability to make pipeline variables configuration more flexible with predefined values. We added a property to predefine values that can be assigned to a variable. It helps avoid errors, and improves the user experience. Instead of typing a variable value, you can choose it from a dropdown.

Deploy ImageLabeller with Bitbucket

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Deploy ImageLabeller with Github

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Deploy ImageLabeller with Gitlab

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Making software changes safer and faster with Jira Service Management

Customer expectations of software services are higher than ever before. Teams are under enormous pressure to rapidly deliver improvements to services without any disruption. In this session, we’ll share ways you can use Jira Service Management and other Atlassian products to harness the power of change management, automation, SLAs to supercharge the process so you can meet (and, even exceed) your customers’ expectations.

How an open approach to DevOps gives you the flexibility to adapt to anything

No single vendor will ever build or own all the DevOps tools your team needs. Atlassian has created a large ecosystem of partners who deliver expertise in key areas of the DevOps lifecycle. Join this session to learn about Atlassian’s open toolchain approach and how it can empower your teams with best of breed tools that work better together. In this session, Snyk, JFrog, and Gitlab will discuss how their integrations can help you achieve your DevOps goals.